For this activity, you are required to select either the Amazon reviews dataset or IMDB Movie dataset to create your sentiment analysis. To extract your sentiment features using RapidMiner Studio, you need to install the Operator Tool Box from the Extensions Menu -> Marketplace (Updates and Extensions). This time, you are not using the Auto Model tab but instead you will click on the Design tab to generate your workflow from scratch.
Use the Operators pane, to set up your work flow for reading your dataset, processing it and generate output. You will find the Extract Sentiment operator from with the Text Processing Extensions in the Operators pane. Alternative you can the Sentiment Analysis template to get a workflow for generating a classification model(s) that predict sentiments. For this activity choose between predicting sentiments using text classification or conducting a sentiment analysis using the sentiment extraction operator. If you opt to predict sentiments using text classification, choose algorithms that will be work well with the datasets.
All your work should be compiled in a PowerPoint presentation. The presentation should address the following: What dataset did you select? How did you process your models to generate your sentiments? Provide screenshots for your workflow. what features did you use in your work? Provide screenshots What is the output of your models/analysis and what does it mean?
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